6,421 research outputs found

    Editorial: re-visioning teaching and learning with technology in mathematics: selected papers from ICTMT12

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    This paper introduces a special journal issue presenting selected papers from the 12th International Conference on Technology in Mathematics Teaching (ICTMT12), hosted by the Faculty of Sciences and Technology of the University of Algarve, in the city of Faro, from 24-27 June 2015. With the overall theme of re-visioning teaching and learning with technology in mathematics, the papers in the special journal issue offer insights into the range of possibilities for the integration of technology in the teaching and learning of mathematics at the upper secondary and tertiary levels of education (including in teacher education). The insights cover teachers' knowledge for teaching mathematics with technology (KTMT), an adaptation of the technological pedagogical content knowledge (TPACK) theoretical framework, an ‘embodied’ approach to the convergence of numerical sequences using GeoGebra, and examples of how GeoGebra can be used to explore complex functions. Such insights are an important part of re-visioning teaching and learning mathematics with technology

    Learning-by-Teaching in CS Education: A Systematic Review

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    To investigate the strategies and approaches in teaching Computer Science (CS), we searched the literature review in CS education in the past ten years. The reviews show that learning-by-teaching with the use of technologies is helpful for improving student learning. To further investigate the strategies that are applied to learning-by-teaching, three categories are identified: peer tutoring, game-based flipped classroom, and teachable agents. In each category, we further searched and investigated prior studies. The results reveal the effectiveness and challenges of each strategy and provide insights for future studies

    Teaching psychology to computing students

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    The aim of this paper is twofold. The first aim is to discuss some observations gained from teaching Psychology to Computing students, highlighting both the wide range of areas where Psychology is relevant to Computing education and the topics that are relevant at different stages of students’ education. The second aim is to consider findings from research investigating the characteristics of Computing and Psychology students. It is proposed that this information could be considered in the design and use of Psychology materials for Computing students. The format for the paper is as follows. Section one will illustrate the many links between the disciplines of Psychology & Computing; highlighting these links helps to answer the question that many Computing students ask, what can Psychology offer to Computing? Section two will then review some of the ways that I have been involved in teaching Psychology to Computing students, from A/AS level to undergraduate and postgraduate level. Section three will compare the profiles of Computing and Psychology students (e.g. on age, gender and motivation to study), to highlight how an understanding of these factors can be used to adapt Psychology teaching materials for Computing students. The conclusions which cover some practical suggestions are presented in section four

    On-line assessment for e-learning: options and opportunities

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    The desire to produce educational multi-media packages of ever greater sophistication is such that other, more problematic, elements of e- or on- line learning receive less attention by academics and courseware developers alike. One such problematic area is that of assessment, which is surprising, as e-learning assessment procedures are more critical in defining the learning that takes place. However, because e-learning can create a much richer, more varied active learning experience than would normally occur via the passive didactic teaching mode currently utilised in most universities and centred on the use of the lecture, it also has the potential to provide new and innovative assessments modes and systems. The extent to which the potential of innovatory assessment is realised via e-learning depends on two factors. First, the level of computer component and interactivity utilised in elearning. Second, the attitude of academic staff towards their teaching role, and, more specifically, how they operate within an elearning environment. The speed of the development in online technologies and techniques is such that the information given here will not provide all the answers, it should, nevertheless, enable some of the correct questions to be pose

    Interacting with educational chatbots: A systematic review

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    Chatbots hold the promise of revolutionizing education by engaging learners, personalizing learning activities, supporting educators, and developing deep insight into learners’ behavior. However, there is a lack of studies that analyze the recent evidence-based chatbot-learner interaction design techniques applied in education. This study presents a systematic review of 36 papers to understand, compare, and reflect on recent attempts to utilize chatbots in education using seven dimensions: educational field, platform, design principles, the role of chatbots, interaction styles, evidence, and limitations. The results show that the chatbots were mainly designed on a web platform to teach computer science, language, general education, and a few other fields such as engineering and mathematics. Further, more than half of the chatbots were used as teaching agents, while more than a third were peer agents. Most of the chatbots used a predetermined conversational path, and more than a quarter utilized a personalized learning approach that catered to students’ learning needs, while other chatbots used experiential and collaborative learning besides other design principles. Moreover, more than a third of the chatbots were evaluated with experiments, and the results primarily point to improved learning and subjective satisfaction. Challenges and limitations include inadequate or insufficient dataset training and a lack of reliance on usability heuristics. Future studies should explore the effect of chatbot personality and localization on subjective satisfaction and learning effectiveness

    Teaching Introductory Programming from A to Z: Twenty-Six Tips from the Trenches

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    A solid foundation in computer programming is critical for students to succeed in advanced computing courses, but teaching such an introductory course is challenging. Therefore, it is important to develop better approaches in order to improve teaching effectiveness and enhance student learning. In this paper, we present 26 tips for teaching introductory programming drawn from the experiences of four well-qualified college professors. It is our hope that our peers can pick up some tips from this paper, apply them in their own classroom, improve their teaching effectiveness, and ultimately enhance student learning
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